Detection: Windows OneDrive Share Mounted via Net

Description

The following analytic detects the use of net.exe or net1.exe to mount a OneDrive share as a network drive. This behavior may indicate an attempt to stage, access, or exfiltrate data through a cloud-hosted WebDAV path rather than a traditional file share. If confirmed malicious, an attacker could use the mounted share to move data outside the environment over trusted cloud infrastructure.

 1
 2| tstats `security_content_summariesonly`
 3  count min(_time) as firstTime
 4        max(_time) as lastTime
 5
 6from datamodel=Endpoint.Processes where
 7
 8`process_net`
 9Processes.process="*use*"
10Processes.process="*https://d.docs.live.net*"
11
12by Processes.process Processes.vendor_product Processes.user_id Processes.process_hash
13   Processes.parent_process_name Processes.parent_process_exec Processes.action
14   Processes.dest Processes.process_current_directory Processes.process_path
15   Processes.process_integrity_level Processes.original_file_name Processes.parent_process
16   Processes.parent_process_path Processes.parent_process_guid Processes.parent_process_id
17   Processes.process_guid Processes.process_id Processes.user Processes.process_name
18
19
20| `drop_dm_object_name(Processes)`
21
22| `security_content_ctime(firstTime)`
23
24| `security_content_ctime(lastTime)`
25
26| `windows_onedrive_share_mounted_via_net_filter`

Data Source

Name Platform Sourcetype Source
CrowdStrike ProcessRollup2 Other 'crowdstrike:events:sensor' 'crowdstrike'
Sysmon EventID 1 Windows icon Windows 'XmlWinEventLog' 'XmlWinEventLog:Microsoft-Windows-Sysmon/Operational'
Windows Event Log Security 4688 Windows icon Windows 'XmlWinEventLog' 'XmlWinEventLog:Security'

Macros Used

Name Value
process_net (Processes.process_name="net1.exe" OR Processes.original_file_name="net1.exe")
windows_onedrive_share_mounted_via_net_filter search *
windows_onedrive_share_mounted_via_net_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic
T1567.002 Exfiltration to Cloud Storage Exfiltration
Actions on Objectives
DE.AE
CIS 10

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting Value
Disabled true
Cron Schedule 0 * * * *
Earliest Time -70m@m
Latest Time -10m@m
Schedule Window auto
Creates Risk Event True
This configuration file applies to all detections of type anomaly. These detections will use Risk Based Alerting.

Implementation

The detection is based on data that originates from Endpoint Detection and Response (EDR) agents. These agents are designed to provide security-related telemetry from the endpoints where the agent is installed. To implement this search, you must ingest logs that contain the process GUID, process name, and parent process. Additionally, you must ingest complete command-line executions. These logs must be processed using the appropriate Splunk Technology Add-ons that are specific to the EDR product. The logs must also be mapped to the Processes node of the Endpoint data model. Use the Splunk Common Information Model (CIM) to normalize the field names and speed up the data modeling process.

Known False Positives

Legitimate users may mount OneDrive shares for synchronized access or backup purposes. Monitor for unauthorized or unusual mounting activity to reduce false alerts.

Associated Analytic Story

Risk Based Analytics (RBA)

Risk Message:

Potential OneDrive share mounted on $dest$ via $process$.

Risk Object Risk Object Type Risk Score Threat Objects
dest system 20 parent_process_name

Detection Testing

Test Type Status Dataset Source Sourcetype
Validation Passing N/A N/A N/A
Unit Passing Dataset XmlWinEventLog:Security XmlWinEventLog
Integration ✅ Passing Dataset XmlWinEventLog:Security XmlWinEventLog

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range


Source: GitHub | Version: 1